PhD

FCA-UNNE

N/A

2018 - 2014

Bsc Chemical Sciences

FaCENA-UNNE

N/A

2012 - 2007

PostDoc Researcher

IQUIBA-NEA

N/A

2021 - 2019

• Laboratorio de Estructura Molecular y Propiedades (LEMyP)
• Topic: Machine Learning for new Cruzain inhibitors design

Doctoral Researcher

FCA-UNNE

N/A

2018 - 2013

• Laboratorio de Desarrollo e Investigacin en Quimiometra (LIDQ)
• Topic: Chemometric techniques for geographical origin classification of native forages

Probabilty and Statistics

FCA-UNNE (Undergraduate Course)

N/A

2020 - 2019

• Teaching Assistant

Physics II

FCA-UNNE (Undergraduate Course)

N/A

2014

• Teaching Assistant

PostDoc CONICET Fellowship

N/A

N/A

2021 - 2019

Khipu 2019

Travel and Accomodation Grant

N/A

2019

Doctoral CONICET Fellowship

N/A

N/A

2018 - 2013

Argentine Chemical Society

Diploma and medal delivered for “best academic average grade” of the Bachelor in Chemical Sciences (UNNE).

N/A

2013

Combining Charge Density Analysis with Machine Learning Tools To Investigate the Cruzain Inhibition Mechanism

ACS Omega - ACS Publications

N/A

2019

• https://pubs.acs.org/doi/abs/10.1021/acsomega.9b01934
• doi: 0.1021/acsomega.9b01934

Brown rice authenticity evaluation by spark discharge-laser-induced breakdown spectroscopy

Food Chemistry - ElSevier

N/A

2019

• https://www.sciencedirect.com/science/article/pii/S0308814619310623
• doi: 10.1016/j.foodchem.2019.124960

Non-essential element concentrations in brown grain rice: Assessment by advanced data mining techniques

Environmental Sciences and Pollution Research - Springer

N/A

2017

• https://www.ncbi.nlm.nih.gov/pubmed/28424959
• doi: 10.1007/s11356-017-9017-2

Perfil mineral en los pastizales de Andropogon lateralis y Sorghastrum setosum (Gramineae) en Corrientes, Argentina

Universidad Nacional de Cuyo - Facultad de Ciencias Agrarias

N/A

2017

• https://bdigital.uncu.edu.ar/objetos_digitales/9644/20172-cp15-bernardis.pdf

Tracing the geographical origin of Argentinean lemon juices based on trace element profiles using advanced chemometric techniques

Microchemical Journal - ElSevier

N/A

2016

• https://www.sciencedirect.com/science/article/abs/pii/S0026265X16301382
• doi: 10.1016/j.microc.2016.07.002

Toxic trace element contents in gluten-free cereal bars marketed in Argentina

International Journal of Celiac Disease - SciEp

N/A

2015

• http://pubs.sciepub.com/ijcd/3/1/4/index.html
• doi: 10.12691/ijcd-3-1-4

R-en-el-NEA (R user’s group)

Co-founder and co-organizer

N/A

Currently - 2019

• https://renelnea.github.io/web/

Rladies Resistencia Corrientes

Co-founder and co-organizer

N/A

Currently - 2018

• https://www.meetup.com/es/rladies-resistencia-corrientes/

LatinR Organization

https://latin-r.com/equipo/

N/A

Currently - 2019

Spanish translation of R4DS

Available at https://es.r4ds.hadley.nz/

N/A

2018

Machine Learning & Khipu.ai

R-en-el-NEA

Resistencia, Argentina

2019

Dplyr tutorial

Rladies-Resistencia-Corrientes

Corrientes, Argentina

2019

Machine Learning: a brief introduction

IQUIBA-NEA

Corrientes, Argentina

2019

Dplyr and Tidyr introduction

Rladies-Resistencia-Corrientes

Corrientes, Argentina

2018

LatinR2018

Rladies-Resistencia-Corrientes

Corrientes, Argentina

2018

R Programming from scratch

Rladies-Resistencia-Corrientes

Corrientes, Argentina

2018

Rladies presentation

Rladies-Resistencia-Corrientes

Corrientes, Argentina

2018

Machine Learning for data analysis

IQUIBA-NEA

Corrientes, Argentina

2017

Data Scientist with Python

Datacamp

N/A

2019

Data Scientist with R

Datacamp

N/A

2019

Deep Learning Specialization: Structuring Machine Learning Projects

Coursera

N/A

2017

Deep Learning Specialization: Improving Deep Neural Networks

Coursera

N/A

2017

Deep Learning Specialization: Neural Networks and Deep Learning

Coursera

N/A

2017

Machine Learning Specialization: Classification - University of Washington

Coursera

N/A

2017

Machine Learning Specialization: Regression - University of Washington

Coursera

N/A

2017

Machine Learning Specialization: Foundations - University of Washington

Coursera

N/A

2017

Python for Data Science and Machine Learning

Udemy

N/A

2017

Ensemble Machine Learning: Random Forest and Adaboost

Udemy

N/A

2017

SQL Bootcamp

Udemy

N/A

2017

Learning from data - California Institute of Technology

edX

N/A

2016

Statistical Learning - Stanford University

Stanford Lagunita

N/A

2016

Advanced Data Mining with WEKA

Waikato University

N/A

2016

More Data Mining with WEKA

Waikato University

N/A

2016

Data Mining with WEKA

Waikato University

N/A

2016